Professor P C Cheshire, STC. S405: Dr G. Ahlfeldt, STC.S408

This course is intended primarily for students on MSc Real Estate Economics and Finance. It is available by arrangement with the teacher responsible as an option to other students on other programmes who have an appropriate academic background and an interest in real estate markets.

An examination of how real property markets operate in practice and of the analytical techniques and data available for analysts and practitioners. Specific areas of study include: the availability and structure of data sets in the context of property: problems of: price measurement; user/investment categories; professional methods of valuation and possible impact on price formation.: creating and manipulating datasets; measuring property performance; analysis to guide portfolio selection; anticipating and evaluating investment opportunities. Specific sector case studies: industrial, retail, commercial, and residential: investment portfolio choice and management. Briefing on course project/essay. Defining research objectives and methodology in practice.

10 x two-hour lectures in MT plus 3 x two-hour project seminar/workshops in MT/LT. The three seminars/workshop sessions are organised by Dr Ahlfeldt late in Michaelmas/early in the Lent term to prepare students for their projects. The majority of the lectures are provided by senior practitioners in real estate research and analysis.. In addition there will be voluntary statistical/econometric support available in the Lent term.

There is no course text. CSO guides to Government Statistics; publications from Investment Property Databank and other research departments and organisations in the real property markets; Journal of Property Research, Estates Gazette.

A 3,000 word project or essay identifying a research problem in real estate markets on a specific issue (e.g., 'The Impact of the 2008 Financial Crisis on Office Rents in Hong Kong', 'Impact of Incomes on House Prices in the UK', 'Which Side of Beijing-Tianjin High-Speed Railway Benefits Most in terms of Housing Prices?' or 'The Economic Implications of Use-Class Designations in England') which will require the student to investigate data sources, suggest techniques of data analysis and provide conclusions on the problem set. Topics must be agreed with the teachers responsible and students participate in small group seminars to prepare for their project. Some back-up assistance with statistical analysis will be available in the Lent term.